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Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes

Book Description

As technology advances, so must our education system. Cloud computing serves as an ideal method for e-learning thanks to its flexibility, affordability, and availability. Cloud-based learning is especially dynamic in STEM education, as it can significantly lower the cost of building cumbersome computer labs while fostering engaged learning and collaboration among students. The Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes prepares current and future instructors for exciting breakthroughs in STEM education driven by the advancement of cloud technologies. From virtual lab and app construction, to information sharing and course material distribution, this volume touches on a variety of topics related to the benefits and challenges of adopting cloud technologies in the classroom. This book is an invaluable reference for educators, technology professionals, administrators, and education students who wish to become leaders in their fields.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board
  6. Preface
    1. THE CHALLENGES
    2. THE ANSWERS
    3. TARGET AUDIENCE
    4. ORGANIZATION OF THE BOOK
  7. Section 1: Trends and Advances of Cloud-Based Teaching and Learning
    1. Chapter 1: Strategic Planning for Cloud Computing Adoption in STEM Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: LEARNING AND MANAGEMENT BENEFITS OF CLOUD COMPUTING FOR EDUCATIONAL INSTITUTIONS
      4. PRIMARY CONCERNS IN CHOOSING A CLOUD PLATFORM, SERVICES, AND SOFTWARE
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Cloud Computing as a Catalyst for Change in STEM Education
      1. ABSTRACT
      2. INTRODUCTION
      3. RELEVANCY IN STEM EDUCATION
      4. CLOUD COMPUTING TOOLS TO ENHANCE STEM EDUCATION
      5. PEDAGOGY IN THE CLOUD
      6. CURRICULUM DEVELOPMENT
      7. PROFESSIONAL DEVELOPMENT
      8. ASSESSMENT
      9. SOLUTIONS AND RECOMMENDATIONS
      10. DIRECTIONS FOR FUTURE RESEARCH
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    3. Chapter 3: The Emergence of Cloud Portfolio in Higher Education
      1. ABSTRACT
      2. INTRODUCTION
      3. DIGITALLY LITERATE GENERATION
      4. E-PORTFOLIOS
      5. EXISTING E- PORTFOLIO SYSTEM’S ISSUES AND CHALLENGES
      6. CLOUD COMPUTING IN HIGHER EDUCATION
      7. C-PORTFOLIO
      8. COMPARISON OF PAPER PORTFOLIO, E-PORTFOLIO AND C-PORTFOLIO
      9. ISSUES AND CHALLENGES FACED BY C-PORTFOLIO’S IMPLEMENTATIONS IN HIGHER EDUCATION
      10. CONCLUSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
  8. Section 2: Development of Education Cloud Platform
    1. Chapter 4: Strategies and Practice of Cloud-Based Learning Environment Implementation
      1. ABSTRACT
      2. 1. CLOUD BASED E-LEARNING SYSTEM
      3. 2. DRIVERS FOR CLOUD ADOPTION IN E-LEARNING
      4. 3. ARCHITECTURAL REQUIREMENTS FOR CLOUD BASED E-LEARNING SYSTEM
      5. 4. PROPOSED CLOUD BASED E- LEARNING ARCHITECTURE
      6. 5. ROLE OF ARCHITECTURE IN MEETING CHALLENGES OF E-LEARNING
      7. 6. REASONS FOR CLOUD ADOPTION
      8. 7. RESEARCH ON CLOUD ADOPTION
      9. 8. CHALLENGES OF CLOUD-BASED E-LEARNING SYSTEM ADOPTION
      10. 9. CLOUD ADOPTION STRATEGY ROADMAP
      11. 10. ESSENTIAL CRITERIA FOR CLOUD SELECTION IN ROADMAP
      12. 11. STRATEGIC FOCUS TO THE ROADMAP
      13. REFERENCES
    2. Chapter 5: Designing, Developing, and Evaluating a Cloud-Based Laboratory for Online STEM IT Students
      1. ABSTRACT
      2. 1. INTRODUCTION AND BACKGROUND
      3. 2. IT LABORATORY TECHNOLOGY
      4. 3. METHODOLOGY
      5. 4. CLOUD-BASED COURSES
      6. 5. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    3. Chapter 6: Addressing Transport Layer Issues in Cloud Computing
      1. ABSTRACT
      2. INTRODUCTION
      3. CLOUD COMPUTING IN STEM
      4. MECHANISMS OF EARLY TCP
      5. LIMITATIONS OF CONNECTION-ORIENTED TRANSPORT PROTOCOLS
      6. CLOUD COMPUTING ISSUES AND TCP SOLUTIONS
      7. FUTURE RESEARCH
      8. SUMMARY
      9. REFERENCES
    4. Chapter 7: Cloud-Based Social Media as LMS
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTION
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTES
    5. Chapter 8: A Cloud-Based Learning Platform
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ENABLING A CLOUD-BASED LEARNING PLATFORM
      5. EVALUATION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
    6. Chapter 9: Context-Aware Cloud Computing for Personal Learning Environment
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. CLOUD BASED CONTEXT-AWARE ARCHITECTURE FOR PLES
      5. 4. IMPLEMENTATION OF CLOUD BASED CONTEXT-AWARE PLES
      6. 5. FUTURE RESEARCH DIRECTIONS
      7. 6. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    7. Chapter 10: Free and Open Source Cloud Computing Technology
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FREE AND OPEN SOURCE CLOUD TECHNOLOGY
      5. CASE STUDY: VIRTUAL LAB FOR DATABASE MANAGEMENT
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
  9. Section 3: Teaching and Learning in the Cloud Environment
    1. Chapter 11: Cloud Computing for Teaching and Learning
      1. ABSTRACT
      2. INTRODUCTION
      3. THE NEED FOR STEM EDUCATION
      4. CLOUD BASED ONLINE LEARNING FOR STEM
      5. THE DREXEL LEARN CASE STUDY
      6. THE LEARNABOUTTHEWEB.COM CASE STUDY
      7. DISCUSSION
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 12: Engaging Students in Conducting Data Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EXAMPLES OF DATA ANALYSIS: REAL-WORLD AND RESEARCH-BASED ILLUSTRATIONS
      5. RESULTS OF CLASSROOM DATA POOLING
      6. CONCLUSION
      7. FUTURE RESEARCH
      8. REFERENCES
    3. Chapter 13: Hands-On Learning of Cloud Computing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND AND CONTEXT
      4. CLOUD COMPUTING KNOWLEDGE AREAS
      5. ALTERNATIVES FOR HANDS-ON TEACHING
      6. CLOUD COMPUTING SIMULATORS
      7. COMPARISON, SELECTION CRITERIA AND LIMITATIONS
      8. EXAMPLES OF CONTENT DESIGN
      9. CONCLUSION AND FUTURE DIRECTION
      10. REFERENCES
      11. ADDITIONAL READING
    4. Chapter 14: Screencasts in Mathematics
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SCREENCASTS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    5. Chapter 15: Support for Cloud-Based Mobile Learning
      1. ABSTRACT
      2. INTRODUCTION
      3. E-LEARNING VS. M-LEARNING
      4. THE EVOLUTION OF M-LEARNING
      5. CURRENT SCENARIO OF M-LEARNING UTILIZING CLOUD
      6. ARCHITECTURE OF M-LEARNING SYSTEM USING CLOUD
      7. CLOUD LEARNING MANAGEMENT (CLM)
      8. FUNCTIONAL DESIGNS OF CLOUD LEARNING MANAGEMENT (CLM) SYSTEM
      9. CHARACTERISTICS OF CLOUD BASED M-LEARNING
      10. BENEFITS OF CLOUD BASED M-LEARNING
      11. CHALLENGES IN CLOUD BASED M-LEARNING SYSTEM
      12. CONVERTING EXISTING M-LEARNING APPLICATIONS TO CLOUD
      13. TECHNOLOGIES USED FOR CLOUD BASED M-LEARNING
      14. SOME CLOUD BASED M-LEARNING CONTENT TOOLS
      15. FUTURE RESEARCH DIRECTIONS AND CONCLUSION
      16. REFERENCES
    6. Chapter 16: Cloud Computing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CLOUD COMPUTING: FUNDAMENTALS
      5. CLOUD COMPUTING: FEATURES
      6. ACADEMIC DOMAIN AND CLOUD
      7. INFORMATION FIELD AND I-SCHOOLS: BASIC
      8. CLOUD VIS-À-VIS ‘INFORMATION SCHOOLS’ PERFORMANCE
      9. INFORMATION FOUNDATION
      10. INFORMATION NETWORKS
      11. TRADITIONAL AND ELECTRONIC INFORMATION MANAGEMENT: CLOUD PERSPECTIVE
      12. POTENTIAL INTERDISCIPLINARY INFORMATION DOMAIN AND CLOUD COMPUTING PROGRAMME: EDUCATIONAL POTENTIALITY
      13. FUTURE RESEARCH POTENTIALITY (SOLUTIONS AND RECOMMENDATIONS)
      14. CONCLUSION
      15. REFERENCES
      16. KEY TERMS AND DEFINITIONS
  10. Section 4: Security and Access Control in Cloud Computing
    1. Chapter 17: Assessing Security with Regard to Cloud Applications in STEM Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. BEST PRACTICES
      7. FUTURE RESEARCH AND DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    2. Chapter 18: Security Issues Related to Cloud Applications in STEM Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SOLUTIONS AND RECOMMENDATIONS
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
  11. Section 5: Management and Evaluation of Classes Supported by Cloud Platform
    1. Chapter 19: Inquiry-Based Learning on the Cloud
      1. ABSTRACT
      2. INTRODUCTION
      3. THE weSPOT PEDAGOGICAL APPROACH
      4. THE weSPOT INQUIRY SPACE
      5. A CASE STUDY ON CO-LEARNING AND CO-INQUIRY
      6. FINDINGS AND LESSONS LEARNED
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
    2. Chapter 20: Cloud-Based Continuous Formative Assessment (CFA)
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODS OF CLOUD-BASED CONTINUOUS FORMATIVE ASSESSMENT
      4. RESEARCH FINDINGS, SOLUTIONS, AND RECOMMENDATIONS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
    3. Chapter 21: Improving the Effectiveness of Research Supervision in STEM Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    4. Chapter 22: Designing a Cloud-Based Assessment Model
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. METHOD
      6. RESULTS
      7. SOLUTIONS AND RECOMMENDATIONS
      8. CONCLUSION
      9. FUTURE RESEARCH DIRECTIONS
      10. REFERENCES
      11. KEY TERMS AND DEFINITIONS
    5. Chapter 23: Cloud Services in UK Higher Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. ENDNOTE
    6. Chapter 24: A Media Interpretation of the Negative Impact of Cloud Technologies
      1. ABSTRACT
      2. DISCUSSION
      3. CONCLUSION
      4. REFERENCES
      5. KEY TERMS AND DEFINITIONS
    7. Chapter 25: The Significance of Situation Awareness in Education
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CONCEPT OF SITUATION AWARENESS
      4. THE TECHNOLOGICAL LAYER OF SITUATION AWARENESS IN EDUCATION
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
  12. Compilation of References
  13. About the Contributors